Software

Digital packaging emerges as a revolutionary player in transforming how consumers interact with products. Traditional packaging, primarily focused on protection and basic marketing, is evolving rapidly.

The future of the plastics industry emerges as a focal point, in a world inundated with crisis reports and the relentless hustle of daily life. Hence, it’s crucial to take a step back and examine the industry through different lenses.

The need to lower the steep costs of traditional manufacturing, involving expensive tooling and molds, makes advancing composite manufacturing a key research focus.

The case study from Citrine on the AI-driven development of additives for the carbon fiber manufacturing process outperformed conventional approaches by 4x in its ability to pinpoint viable candidates. This illustrates the transformative impact AI and machine learning (ML) have on materials science.

The recycling industry faces significant challenges, particularly in accurately sorting and recycling mixed waste streams. This is especially important for food-grade post-consumer recycled. Innovations such as digital watermarks and fluorescent markers offer promising solutions to these challenges, potentially revolutionizing the recycling process.

The global waste crisis continues escalating, demanding innovative solutions offering sustainable management practices. OscarPocket emerges as a cutting-edge application designed to empower individuals with the tools to sort waste accurately, thus enhancing recycling efforts and reducing environmental impact.

In the extensive world of materials science and industrial processes, selecting the right rheometer for our specific applications often feels like navigating a complex puzzle. Each piece must fit precisely to unlock the full potential of material characterization,  R&D, and process optimization.

Altair Engineering is leveraging artificial intelligence (AI) and digital twin technology to speed product design simulations.

How Artificial Intelligence (AI) can succeed 6% reduction in energy consumption, a 9% decrease in rejects, and a 10% enhancement in systems efficiency. This approach significantly accelerates the timeline from project planning to AI deployment, condensing it from months to a matter of weeks.

Artificial intelligence can revolutionize Injection Molding by extracting insights and improving process indicators. The Lüdenscheid Plastics Institute in Germany is conducting some studies to teach companies to understand how to use AI effectively.